Ryan Q.

Ryan Q.

Greater Sacramento
441 followers 435 connections

About

Experienced Data professional with a demonstrated history of working in a large…

Activity

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Experience

  • Babylist Graphic
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    San Francisco Bay Area

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    San Francisco Bay Area

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    San Francisco Bay Area

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    San Jose

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    Silicon Valley

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    Greater San Diego Area

Education

Licenses & Certifications

Volunteer Experience

  • CONTRA COSTA COUNTY LIBRARY Graphic

    Computer Docent

    CONTRA COSTA COUNTY LIBRARY

    - 9 months

    Science and Technology

    Assisted library staff by answering simple questions pertaining to computer use, such as how to log in, how to print, and how to retrieve print jobs. Supported library services and promoted computer literacy through informal first-come-first-served sessions with patrons. Promoted basic computer skills such as emailing, how to use the internet, keyboarding, word processing, spreadsheets, and the use of common mobile devices such as tablets and e-readers.

  • National Park Service Volunteers-In-Parks Graphic

    John Muir National Historic Site Docent

    National Park Service Volunteers-In-Parks

    - 9 months

    Arts and Culture

    Welcomed patrons to the house that John Muir called home from 1890 to 1914. Answered any questions regarding the site, the extended property, or John Muir's life in general. Assisted Interpretive staff with group tours. Ensured the preservation of historical artifacts within the house.

Courses

  • Bayesian Data Analysis

    MATH 264

  • Design of Experiments

    MATH 261B

  • Mathematical Statistics

    MATH 164

  • Multivariate Data Analysis

    MATH 257

  • Probability Theory

    MATH 163

  • Programming in SAS

    MATH 167

  • R Programming

    MATH 267A

  • Regression Theory and Methods

    MATH 261A

  • Statistical Consulting

    MATH 269

  • Technical Writing

    ENGR 200W

  • Time Series Analysis

    MATH 265

Projects

  • Customer Segmentation Using Unsupervised Machine Learning

    - Present

    As part of a research collaboration between Verizon and SJSU, my team is tasked with researching and implementing an unsupervised machine learning method to identify segments within the Verizon customer base. To achieve this, we are using spectral clustering on sparse matrices of user browsing history collected across a variety of devices.

    Other creators
  • Bayesian Data Analysis of Quentin Tarantino Filmography

    Use Bayesian methods to analyze the kill rate per hour of movies written and directed by Quentin Tarantino with the ultimate goal of predicting the body count of his next movie.

    See project
  • Time Series Analysis of Home Prices

    • Analyzed the S&P/Case-Shiller Home Price Index data from 1987-2016 to draw insights on the housing bubble.
    • Used time and frequency domain methods in R to fit appropriate candidate SARIMA models
    • Created an R shiny app to allow users familiar with time series to interactively modify the home price analysis without needing to write any R code.

    See project
  • Regression Analysis of Manufacturing Costs

    • Worked in a small team to analyze production data for a manufacturing company.
    • Developed estimation and analysis models to accurately predict average costs for future orders and to determine where costs are being realized in the production process.
    • Performed thorough statistical analysis by extensively employing R.
    • Prepared an executive summary for the production manager as well as a detailed technical appendix.

Honors & Awards

  • Richard C. Dieckmann Scholarship

    Department of Mathematics & Statistics, San Jose State University

    This scholarship was first awarded in 1983. Professor Dieckmann was a highly regarded member of the mathematics faculty here for many years. He endowed a scholarship fund by a gift from his estate to reward and encourage academic excellence by a math major.

  • Summa Cum Laude

    UCSD

    University honors are awarded with the bachelor’s degree to students who have an exceptional overall GPA. The summa cum laude honors designation is top 2% of the class

  • All Academic Team

    California Collegiate Athletic Association

    Student-athletes must be a varsity letter winner who competed in one of 13 CCAA-sponsored sports, and must maintain a GPA of 3.40 or higher in a minimum of 36 quarter units during the 2008-09 academic year

Organizations

  • American Statistical Association

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    - Present

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